Method, system and equipment for rapidly adjusting handheld laser welding process parameters and medium

By building a welding parameter constraint library and selecting the adaptive parameter constraint relationship, the rapid matching and linkage adjustment of handheld laser welding parameters is achieved, and welding defects and quality failures caused by improper parameter matching are solved, and welding efficiency and quality are improved.

CN120190472APending Publication Date: 2025-06-24JINAN BODOR LASER CO LTD
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Patent Information

Application Number
CN202510416739.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-03
Publication Date
2025-06-24

AI Technical Summary

Technical Problem

The existing handheld laser welding equipment may easily lead to welding defects and quality failures and increase operational difficulty and time cost.

Method used

By building a welding parameter constraint library, selecting the appropriate welding parameter constraint relationship based on the workpiece material and thickness, it can achieve rapid matching and linkage adjustment of welding parameters.

Benefits of technology

It reduces the difficulty of operation of users, reduces dependence on experience, improves welding quality and efficiency, and reduces welding defects and defective rates.

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Abstract

The invention provides a method, system, equipment and medium for rapidly adjusting handheld laser welding process parameters, and belongs to the technical field of laser welding equipment control. The method comprises the steps that typical working conditions of workpiece material and workpiece thickness combination are determined, and a welding parameter constraint relation is constructed for all the typical working conditions; acquiring a workpiece material and a workpiece thickness selected by a user, and selecting an adaptive welding parameter constraint relation; welding parameter values are initialized, and welding is executed; and when the welding parameters need to be adjusted, responding to one welding parameter value adjusted by the user, determining the associated welding parameter value by using the selected welding parameter constraint relation, and welding by using the adjusted welding parameter value and the associated welding parameter value. According to the method, the welding parameter constraint library is constructed, the appropriate welding parameter constraint relation can be rapidly matched according to the workpiece material and thickness selected by the user, the associated parameter value is automatically determined when the user adjusts a certain parameter, and therefore rapid and accurate adjustment of the welding parameters is achieved.
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Description

Technical Field

[0001] This application belongs to the technical field of laser welding equipment control, and specifically relates to a method, system, device, and medium for quickly adjusting the process parameters of handheld laser welding. Background Art

[0002] At present, handheld laser welding equipment has been widely used in industrial production. However, due to the complexity of welding process parameters, users often face problems of improper parameter matching in actual operation. Existing process guides usually only provide some conservative ranges for adjusting process parameters. Users need to conduct multiple debugging based on experience in actual operation, and are prone to problems such as mismatching between power and wire feeding speed, burn-through caused by excessive power, poor welding effect caused by too fast wire feeding speed, and unqualified weld quality. This not only requires relatively high welding experience from users, but also increases the operation difficulty and time cost.

[0003] Specifically, improper parameter matching can lead to various welding defects and problems. When the power and wire feeding speed are mismatched, too high power and too slow wire feeding will cause excessive melting or even burn-through of the material, and the weld will show depressions or holes; too low power and too fast wire feeding will result in incomplete fusion or false welding, affecting the welding strength. Excessive power, especially when welding thin plates, is likely to cause burn-through, damaging the structural integrity and appearance of the workpiece, and increasing the repair workload. Too fast wire feeding will make the molten pool unstable, the weld surface uneven, the spatter increase, and the shielding gas coverage insufficient, resulting in defects such as pores and slag inclusions, reducing the weld performance. Unqualified weld quality is manifested as insufficient strength, rough surface, internal pores or cracks, affecting the load-bearing capacity of the workpiece, increasing the risk of fracture, and may even lead to equipment failure or safety accidents in severe cases.

[0004] In summary, there are obvious deficiencies in the existing process guides in terms of parameter matching, and users face many challenges in actual operation. Therefore, there is an urgent need for a method and system that can quickly adjust the process parameters of handheld laser welding. Summary of the Invention

[0005] In a first aspect, an embodiment of this application provides a method for quickly adjusting the process parameters of handheld laser welding, including the following steps: S1. Determine the typical combination of workpiece material and workpiece thickness as a typical working condition, construct a welding parameter constraint relationship for each typical working condition, and save it to the welding parameter constraint library; S2. Obtain the workpiece material and workpiece thickness selected by the user, and select the appropriate welding parameter constraint relationship from the welding parameter constraint library; S3. Initialize the welding parameter values and perform welding; S4. When welding parameters need to be adjusted, in response to a value of a welding parameter adjusted by the user, determine the associated welding parameter values using the selected welding parameter constraint relationships, and perform welding using the adjusted welding parameter values and the associated welding parameter values.

[0006] Further, the specific steps of step S1 are as follows: S11. Determine the type of workpiece material. S12. Determine the types of typical workpiece thicknesses for each workpiece material. S13. Take the processing of each workpiece material at each typical workpiece thickness as a typical working condition. S14. Construct welding parameter constraint relationships for each typical working condition, where the welding parameter constraint relationships include range constraints of adjustable welding parameters, association constraints between welding parameters, and fixed constraints of welding parameters.

[0007] Further, the range constraints of the adjustable welding parameters include range constraints of welding power and range constraints of wire feeding rate; The association constraints between the welding parameters include the association constraint between welding power and wire feeding rate, and the association constraint between wire feeding rate and galvanometer swing frequency; The fixed constraints of the welding parameters include the galvanometer swing width constraint under each typical working condition.

[0008] Further, the association constraint between the welding power and the wire feeding rate is specifically as follows:

[0009] Wherein, P is the welding power; Vf is the wire feeding rate; a is the power - to - wire - feeding - rate proportionality coefficient, and a > 0; b is the power compensation value, and b ∈ R. The positive or negative of b depends on the specific welding working condition and corrects the basic power requirements under different typical working conditions; The association constraint between the wire feeding rate and the galvanometer swing frequency is specifically as follows: SS1. Divide several wire feeding rate intervals under each typical working condition; SS2. Set a fixed galvanometer swing frequency for each wire feeding rate interval.

[0010] Further, the specific steps of step S2 are as follows: S21. Determine the corresponding typical working condition according to the workpiece material and workpiece thickness selected by the user. S22. Select the range constraints of the adjustable welding parameters, the association constraints between the welding parameters, and the fixed constraints of the welding parameters corresponding to this typical working condition from the welding relationship constraint library.

[0011] Further, the specific steps of step S3 are as follows: S31. Detect whether there is a saved welding parameter value under the current typical working condition; If so, obtain the saved welding parameter value by the user and proceed to step S33; If not, proceed to step S32; S32. Obtain the factory - preset welding parameter value under the current typical working condition; S33. Determine whether the welding parameter value needs to be adjusted; If so, proceed to step S4; If not, proceed to step S34; S34. Execute welding using the obtained welding parameter value; S35. Determine whether the welding parameter value needs to be adjusted during the welding process; If so, proceed to step S4; If not, proceed to step S36; S36. Wait for a set period of time and return to step S35.

[0012] Furthermore, the specific steps of step S4 are as follows: S41. Obtain a welding parameter value adjusted by the user and detect whether it exceeds the range constraint of the adjustable welding parameter; If so, correct the adjusted welding parameter value by the user, and use the corrected welding parameter value as the directly changed welding parameter value, and proceed to step S42; If not, use the adjusted welding parameter value by the user as the directly changed welding parameter value, and proceed to step S42; S42. Use the correlation constraint between welding parameters to determine the changed welding parameter value for the directly changed welding parameter value; S43. Use the fixed constraint of the welding parameter to determine that the fixed welding parameter value under the current typical working condition remains unchanged.

[0013] Furthermore, in step S41, When the adjusted welding parameter value by the user is the welding power, use the range constraint of the welding power for detection; If the adjusted welding power by the user exceeds the range constraint of the welding power, correct the adjusted welding power by the user; When the adjusted welding parameter value by the user is the wire - feeding rate, use the range constraint of the wire - feeding rate for detection; If the adjusted wire - feeding rate by the user exceeds the constraint range of the wire - feeding rate, correct the adjusted wire - feeding rate by the user; In step S42, When the directly changed welding parameter value is the welding power, the changed wire feeding rate is determined by using the correlation constraint between the welding power and the wire feeding rate for the changed welding power, and then the changed galvanometer swing frequency is determined by using the constraint relationship between the wire feeding rate and the galvanometer swing frequency for the changed wire feeding rate; When the directly changed welding parameter value is the wire feeding rate, the changed welding power is determined by using the correlation constraint between the welding power and the wire feeding rate for the changed wire feeding rate, and the changed galvanometer swing frequency is determined by using the constraint relationship between the wire feeding rate and the galvanometer swing frequency for the changed wire feeding rate.

[0014] In a second aspect, an embodiment of the present application further provides a system for quickly adjusting the process parameters of handheld laser welding, including: A welding parameter constraint library construction module, configured to determine a typical combination of workpiece material and workpiece thickness as a typical working condition, construct a welding parameter constraint relationship for each typical working condition, and save it to the welding parameter constraint library; A welding parameter constraint relationship selection module, configured to obtain the workpiece material and workpiece thickness selected by the user, and select an adapted welding parameter constraint relationship from the welding parameter constraint library; A welding parameter initialization module, configured to initialize the welding parameter value and perform welding; A welding parameter adjustment module, configured to, when it is necessary to adjust the welding parameters, respond to a changed welding parameter value adjusted by the user, determine the associated welding parameter value by using the selected welding parameter constraint relationship, and perform welding by using the adjusted welding parameter value and the associated welding parameter value.

[0015] In a third aspect, an embodiment of the present application further provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the steps of the method for quickly adjusting the process parameters of handheld laser welding as described in the first aspect are implemented.

[0016] In a fourth aspect, an embodiment of the present application further provides a storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for quickly adjusting the process parameters of handheld laser welding as described in the first aspect are implemented.

[0017] It can be seen from the above technical solutions that the present application has the following advantages: In the method, system, device and medium for quickly adjusting the process parameters of handheld laser welding provided by this application, by constructing a welding parameter constraint library, it is possible to quickly match appropriate welding parameter constraint relationships according to the workpiece material and thickness selected by the user, and when the user adjusts a certain parameter, the associated parameter values can be automatically determined, thereby achieving the quick and accurate adjustment of welding parameters, solving the problems in the prior art that due to insufficient experience, users have improper parameter matching and unstable welding quality, not only reducing the operation difficulty, but also improving the welding efficiency and quality, reducing welding defects and defective product rates, and saving time and costs. Brief Description of the Drawings

[0018] In order to more clearly illustrate the technical solutions of this application, the drawings required for description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of this application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0019] Figure 1 It is a flow schematic diagram of the method for quickly adjusting the process parameters of handheld laser welding of the present invention.

[0020] Figure 2 It is a flow schematic diagram of the system for quickly adjusting the process parameters of handheld laser welding of the present invention. Detailed Description of the Embodiments

[0021] In the following, the specific steps of the method for quickly adjusting the process parameters of handheld laser welding will be described in detail, and various embodiments of the present disclosure will be described more comprehensively. The present disclosure can have various embodiments, and adjustments and changes can be made therein. However, it should be understood that there is no intention to limit the various embodiments of the present disclosure to the specific embodiments disclosed herein, but the present disclosure should be understood to cover all adjustments, equivalents and / or alternative solutions falling within the spirit and scope of the various embodiments of the present disclosure.

[0022] Exemplarily speaking, in today's industrial production field, handheld laser welding equipment has been widely used. However, due to the complexity of welding process parameters, users often encounter difficulties in improper parameter matching during actual operation. Most current process guides only give some relatively conservative process parameter adjustment ranges. Users need to repeatedly debug based on experience during actual operation, and it is very easy to have many problems such as the power not matching the wire feeding speed, excessive power causing welding through, too fast wire feeding speed resulting in poor welding effect, and unqualified weld quality. These problems not only place high requirements on the user's welding experience, but also increase the operation difficulty and time cost.

[0023] Specifically, improper parameter matching can cause various welding defects and problems. When the power and wire feeding speed do not match, if the power is too high and the wire feeding is too slow, the material will melt excessively or even burn through, and the weld seam will have depressions or holes; conversely, if the power is too low and the wire feeding is too fast, it will result in incomplete fusion or false welding, thereby affecting the welding strength. When welding thin plates, too high power is extremely likely to cause burn-through, damaging the structural integrity and appearance of the workpiece, and at the same time increasing the repair workload. Too fast wire feeding speed will make the molten pool unstable, the surface of the weld seam become uneven, the spatter increase, and the shielding gas coverage is insufficient, resulting in defects such as pores and slag inclusions, reducing the weld seam performance. And unqualified weld seam quality is manifested as insufficient strength, rough surface, pores or cracks inside, which will weaken the load-bearing capacity of the workpiece, increase the risk of fracture, and may even cause equipment failure or safety accidents in severe cases.

[0024] In summary, there are many deficiencies in the existing process guidance in terms of parameter matching, and users face many difficult problems in actual operation. Therefore, there is an urgent need for a method and system that can quickly adjust the process parameters of handheld laser welding.

[0025] In view of the above problems, this embodiment provides a method for quickly adjusting the process parameters of handheld laser welding. By establishing the parameter constraint relationship under typical working conditions, the intelligent matching and linkage adjustment of welding parameters are realized, reducing the operation difficulty of users, reducing the dependence on experience, and improving the welding quality and efficiency.

[0026] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0027] Please refer to Figure 1 The following is a flowchart of a method for quickly adjusting the process parameters of handheld laser welding in a specific embodiment. The method includes the following steps: S1. Determine the typical combination of workpiece material and workpiece thickness as the typical working condition, construct the welding parameter constraint relationship for each typical working condition, and save it to the welding parameter constraint library; It should be noted that by determining the typical working condition and constructing the welding parameter constraint library, standard parameter constraint relationships are provided for welding different workpiece materials and thicknesses, providing data integration for subsequent parameter selection and adjustment, not only improving the accuracy and efficiency of welding parameter adjustment, but also being the basis for the subsequent optimization of the entire welding process; S2. Obtain the workpiece material and workpiece thickness selected by the user, and select the appropriate welding parameter constraint relationship from the welding parameter constraint library; It should be noted that by selecting the appropriate welding parameter constraint relationship from the welding parameter constraint library according to the workpiece material and thickness selected by the user, the rapid matching of welding parameters is achieved, reducing the time and effort of the user in parameter selection, improving the response speed of the system and the user experience; S3. Initialize the welding parameter values and perform welding; It should be noted that the handheld laser welding system will automatically perform initialization after startup; S4. When it is necessary to adjust the welding parameters, respond to a welding parameter value adjusted by the user, and use the selected welding parameter constraint relationship to determine the associated welding parameter values, and perform welding using the adjusted welding parameter value and the associated welding parameter values; It should be noted that by obtaining a welding parameter value adjusted by the user and using the selected welding parameter constraint relationship to determine the associated welding parameter values, the dynamic adjustment of welding parameters is achieved, ensuring the reasonable matching between welding parameters, improving the stability of welding quality, and effectively avoiding the occurrence of welding defects.

[0028] In this embodiment, the rapid matching and adjustment of welding parameters are achieved by constructing a welding parameter constraint library, solving the deficiencies of the existing process guidance, and improving the efficiency and accuracy of welding parameter adjustment.

[0029] Furthermore, as a refinement and extension of the specific implementation manner of the above embodiment, in order to fully illustrate the specific implementation process in this embodiment, another method for quickly adjusting the handheld laser welding process parameters is provided. This method includes the following steps: S1. Determine the typical combinations of workpiece materials and workpiece thicknesses as typical working conditions, construct welding parameter constraint relationships for each typical working condition, and save them in the welding parameter constraint library; The specific steps of step S1 are as follows: S11. Determine the types of workpiece materials; For example, the types of workpiece materials include stainless steel (SS), carbon steel (CS), aluminum (AL), and copper (CU); S12. Determine the types of typical workpiece thicknesses for each workpiece material; For example, the typical workpiece thicknesses of stainless steel (SS) include 1 mm, 2 mm, 3 mm, 4 mm, and 5 mm; The typical workpiece thicknesses of carbon steel (CS) include 1 mm, 2 mm, 3 mm, 4 mm, and 5 mm; The typical workpiece thicknesses of aluminum (AL) include 1 mm, 2 mm, 3 mm, and 4 mm; The typical workpiece thicknesses of copper (CU) include 1 mm and 2 mm; S13. Take the processing of each workpiece material at each typical workpiece thickness as a typical working condition; S14. Construct welding parameter constraint relationships for each typical working condition. The welding parameter constraint relationships include range constraints of adjustable welding parameters, association constraints between welding parameters, and fixed constraints of welding parameters; It should be noted that by determining the types of workpiece materials and typical thicknesses, determining typical working conditions and constructing constraint relationships, various welding scenarios can be comprehensively and accurately covered, improving the integrity of the welding parameter constraint library and providing a basis for subsequent parameter selection and adjustment; The range constraints of adjustable welding parameters include the range constraint of welding power and the range constraint of wire feeding rate; It should be noted that each typical working condition combination has corresponding minimum welding power Pmin, maximum welding power Pmax, minimum wire feeding rate Vfmin, and maximum wire feeding rate Vfmax: Exemplarily, the typical working conditions of stainless steel (SS) with a workpiece thickness of 1 mm: Pmin = 44, Pmax = 65; Vfmin = 15, Vfmax = 22; The typical working conditions of carbon steel (CS) with a workpiece thickness of 1 mm: Pmin = 29, Pmax = 50; Vfmin = 15, Vfmax = 22; The typical working conditions of aluminum (AL) with a workpiece thickness of 1 mm: Pmin = 39, Pmax = 60; Vfmin = 23, Vfmax = 30; The typical working conditions of copper (CU) with a workpiece thickness of 1 mm: Pmin = 54, Pmax = 75; Vfmin = 9, Vfmax = 16; The correlation constraints between welding parameters include the correlation constraint between welding power and wire feeding rate, and the correlation constraint between wire feeding rate and galvanometer swing frequency; The fixed constraints of welding parameters include the galvanometer swing width constraint under each typical working condition; Exemplarily, for stainless steel (SS), the galvanometer swing width W constraint for typical working conditions corresponding to different workpiece thicknesses: 1 mm thickness: W = 2 2 mm, 3 mm, 4 mm, and 5 mm thicknesses: W = 2.5 For the typical working conditions of carbon steel (CS), aluminum (AL), and copper (CU) at each workpiece thickness: W = 2; It should be noted that by restricting the welding power and wire feeding rate range, it is ensured that the parameters are adjusted within a safe and reasonable range; by the associated constraints between parameters, the coordination of parameter adjustment is guaranteed; by the fixed constraint of the galvanometer swing width, the stability of some parameters during the welding process is maintained, thereby improving the consistency of welding quality. In this embodiment, the associated constraint between the welding power and the wire feeding rate is specifically as follows:

[0030] Among them, P is the welding power; Vf is the wire feeding rate; a is the proportional coefficient of power and wire feeding rate, and a > 0; b is the power compensation value, and b ∈ R. The positive or negative of b depends on the specific welding working conditions and corrects the basic power requirements under different typical working conditions. In this embodiment, the typical working conditions are divided into general typical working conditions and special typical working conditions. Under the general typical working conditions, the associated constraint between the welding power and the wire feeding rate is specifically as follows:

[0031] Exemplarily, the associated constraints between the welding power and the wire feeding rate for different workpiece thicknesses of stainless steel (SS) are as follows: 1mm thickness: P = 3Vf - 1 2mm thickness: P = 3Vf + 20 5mm thickness: P = 3Vf + 64 For different workpiece thicknesses of carbon steel (CS), the associated constraints between the welding power and the wire feeding rate are as follows: 1mm thickness: P = 3Vf - 16 2mm thickness: P = 3Vf + 22 3mm thickness: P = 3Vf + 55 4mm thickness: P = 3Vf + 58 5mm thickness: P = 3Vf + 64 For different workpiece thicknesses of aluminum (AL), the associated constraints between the welding power and the wire feeding rate are as follows: 1mm thickness: P = 3Vf - 30 2mm thickness: P = 3Vf - 6 3mm thickness: P = 3Vf + 26 4mm thickness: P = 3Vf + 40 For different workpiece thicknesses of CU material, the associated constraints between the welding power and the wire feeding rate are as follows: 1mm thickness: P = 3Vf + 27 For a thickness of 2 mm: P = 3Vf + 52 Under special typical working conditions, the wire feeding rate is divided into intervals, and the correlation constraints between the welding power and the wire feeding rate are different for different wire feeding rate intervals; For example, for welding power and wire feeding rate correlation constraints for a stainless steel (SS) workpiece with a thickness of 3 mm are as follows: P = 3Vf + 50 (Vf>= 12); P = 6Vf + 24 (12>Vf>= 6); Another example, for welding power and wire feeding rate correlation constraints for a stainless steel (SS) workpiece with a thickness of 4 mm are as follows: P = 3Vf + 61 (Vf>= 11); P = 6Vf + 24 (11>Vf>= 7); It should be noted that by giving the specific formula for the correlation constraint between the welding power and the wire feeding rate, introducing the proportionality coefficient a and the power compensation value b, the relationship between the power and the wire feeding rate can be accurately adjusted according to different welding working conditions. This quantitative correlation method improves the accuracy of parameter adjustment, makes the energy input and wire filling more matched during the welding process, effectively reduces welding defects, and improves the welding quality; The correlation constraints between the wire feeding rate and the galvanometer swing frequency are specifically as follows: SS1. Divide several wire feeding rate intervals under each typical working condition; SS2. Set a fixed galvanometer swing frequency for each wire feeding rate interval; Exemplarily, for the correlation constraints between the wire feeding rate Vf and the galvanometer swing frequency F for different thicknesses of stainless steel (SS) workpieces are as follows: For a thickness of 1 mm: F = 80 (19<= Vf<= 22); F = 70 (Vf<19); For a thickness of 2 mm: F = 80 (Vf = 15); F = 70 (11<= Vf<= 14); F = 60 (Vf<11); For a thickness of 3 mm: F = 80 (12<= Vf<= 15); F = 70 (10>= Vf>= 8); F = 60 (Vf<7); For a thickness of 4 mm: F = 50 (10<= Vf<= 13); F = 40 (10>Vf>= 7); F = 50 (Vf <= 13); For a thickness of 5 mm: F = 40 (10 <= Vf <= 12); F = 35 (10 > Vf >= 7); The correlation constraints between the wire feeding rate Vf and the galvanometer swing frequency F for different workpiece thicknesses of carbon steel (CS) are as follows: For a thickness of 1 mm: F = 80 (19 <= Vf <= 22); F = 70 (18 >= Vf >= 15); For a thickness of 2 mm: F = 80 (13 <= Vf <= 16); F = 70 (12 >= Vf >= 9); F = 60 (Vf <= 8); For a thickness of 3 mm: F = 80 (12 <= Vf <= 15); F = 70 (11 >= Vf >= 8); For a thickness of 4 mm: F = 50 (11 <= Vf <= 14); F = 40 (10 >= Vf >= 7); For a thickness of 5 mm: F = 40 (10 <= Vf <= 12); F = 40 (9 >= Vf >= 7); The correlation constraints between the wire feeding rate Vf and the galvanometer swing frequency F for different workpiece thicknesses of aluminum (AL) are as follows: For a thickness of 1 mm: F = 80 (27 <= Vf <= 30); F = 70 (26 >= Vf >= 23); For a thickness of 2 mm: F = 80 (24 <= Vf <= 27); F = 70 (23 >= Vf >= 20); For a thickness of 3 mm: F = 80 (20 <= Vf <= 23); F = 70 (16 >= Vf >= 19); For a thickness of 4 mm: F = 80 (17 <= Vf <= 20); F = 70 (15 >= Vf >= 16); The correlation constraints between the wire feeding rate and the galvanometer swing frequency for different workpiece thicknesses of CU material are as follows: For a thickness of 1 mm: F = 80 (13 <= Vf <= 16); F = 70 (12>= Vf>= 9); 2mm thickness: F = 80 (13<= Vf<= 16); F = 70 (12>= Vf>= 9); It should be noted that by dividing the wire feeding rate interval and setting the corresponding swing frequency, the association constraint mode between the wire feeding rate and the swing frequency of the galvanometer is limited, so that the wire feeding and the swinging action are coordinated during the welding process; the accurate swing frequency setting improves the weld formation, improves the welding quality, and avoids welding defects caused by the uncoordinated wire feeding and swinging, such as uneven welds, pores, etc. S2. Obtain the workpiece material and workpiece thickness selected by the user, and select an adaptive welding parameter constraint relationship from the welding parameter constraint library; the specific steps of step S2 are as follows: S21. Determine the corresponding typical working condition according to the workpiece material and workpiece thickness selected by the user; S22. Selecting the range constraints of adjustable welding parameters corresponding to the typical working condition, the association constraints between welding parameters and the fixed constraints of welding parameters from the welding relationship constraint library; It should be noted that the typical working conditions are determined according to the user's selection, and the corresponding parameter constraints are accurately selected from the welding relationship constraint library, which improves the accuracy of parameter selection, improves the matching efficiency, reduces the possibility of wrong selection, and ensures the accuracy of parameters during welding; S3. Initialize the welding parameter value based on the selected welding parameter constraint relationship and perform welding; the specific steps of step S3 are as follows: S31. Detect whether there are welding parameter values ​​saved by the user under the current typical working conditions; If yes, obtain the welding parameter value saved by the user and proceed to step S33; If not, proceed to step S32; S32. Obtain the factory preset welding parameter values ​​under the current typical working conditions; S33. Determine whether the welding parameter value needs to be adjusted; If yes, go to step S4; If not, proceed to step S34; S34. Perform welding using the acquired welding parameter values; S35 determines whether the welding parameter value needs to be adjusted during the welding process; If yes, go to step S4; If not, proceed to step S36; S36. Wait for the set time period and return to step S35; S4. When welding parameters need to be adjusted, in response to a value of a welding parameter adjusted by the user, and using the selected welding parameter constraint relationship to determine the associated welding parameter value, and performing welding using the adjusted welding parameter value and the associated welding parameter value; the specific steps of step S4 are as follows: S41. A value of a welding parameter adjusted by the user is detected to determine whether it exceeds the range constraint of the adjustable welding parameter; If so, the value of the welding parameter adjusted by the user is corrected, and the corrected welding parameter value is used as the directly changed welding parameter value, and step S42 is entered; If not, the value of the welding parameter adjusted by the user is used as the directly changed welding parameter value, and step S42 is entered; Specifically, when the value of the welding parameter adjusted by the user is the welding power, the range constraint of the welding power is used for detection; If the welding power adjusted by the user exceeds the range constraint of the welding power, the welding power adjusted by the user is corrected; Specifically, if the welding power adjusted by the user is higher than the upper limit value of the welding power range, the welding power adjusted by the user is corrected to the upper limit value of the welding power range; Similarly, when the value of the welding parameter adjusted by the user is the wire feeding rate, the range constraint of the wire feeding rate is used for detection; If the wire feeding rate adjusted by the user exceeds the constraint range of the wire feeding rate, the wire feeding rate adjusted by the user is corrected; Specifically, if the wire feeding rate adjusted by the user is lower than the lower limit value of the wire feeding rate range, the wire feeding rate adjusted by the user is corrected to the lower limit value of the wire feeding rate range; For example, the workpiece material selected by the user is stainless steel (SS), and the workpiece thickness is 1 mm; The range constraints of the adjustable welding parameters under this typical working condition are: Welding power: Pmin = 44, Pmax = 65; Wire feeding rate: Vfmin = 15, Vfmax = 22; If the user adjusts the welding power to 70, this value exceeds the upper limit value 65 of the welding power range, then the welding power adjusted by the user is corrected to the upper limit value 65 of the welding power range. At this time, the corrected welding power 65 is used as the directly changed welding parameter value, and step S42 is entered; If the user adjusts the welding power to 50, this value is within the range constraint 44 - 65 of the welding power, then the welding power 50 adjusted by the user is used as the directly changed welding parameter value, and step S42 is entered; In another case, if the user adjusts the wire feeding rate to 12, which is lower than the lower limit value 15 of the wire feeding rate range, then the wire feeding rate adjusted by the user is corrected to the lower limit value 15 of the wire feeding rate range. At this time, the corrected wire feeding rate value 15 is used as the directly changed welding parameter value, and the process enters step S42; If the user adjusts the wire feeding rate to 20, which is within the range constraint 15 - 22 of the wire feeding rate, then the wire feeding rate of 20 adjusted by the user is used as the directly changed welding parameter value, and the process enters step S42; It should be noted that classifying and processing the welding power and wire feeding rate makes the parameter detection and correction more meticulous and accurate, effectively avoiding welding defects caused by parameters exceeding the range and ensuring the safety of the welding process; S42. Use the correlation constraints between welding parameters to determine the changed welding parameter value for the directly changed welding parameter value; Specifically, when the directly changed welding parameter value is the welding power, use the correlation constraint between the welding power and the wire feeding rate for the changed welding power to determine the changed wire feeding rate, and then use the constraint relationship between the wire feeding rate and the galvanometer swing frequency for the changed wire feeding rate to determine the changed galvanometer swing frequency; When the directly changed welding parameter value is the wire feeding rate, use the correlation constraint between the welding power and the wire feeding rate for the changed wire feeding rate to determine the changed welding power, and use the constraint relationship between the wire feeding rate and the galvanometer swing frequency for the changed wire feeding rate to determine the changed galvanometer swing frequency; For example, in the typical working condition of 1mm thickness of stainless steel (SS), the directly changed welding parameter value is the corrected welding power 65 (the user originally adjusted it to 70); Since the correlation constraint between the welding power and the wire feeding rate in this typical working condition is P = 3Vf - 1, substituting P = 65 into the formula, the changed wire feeding rate Vf is 22; Then, according to the correlation constraint between the wire feeding rate and the galvanometer swing frequency, for the typical working condition of 1mm thickness of stainless steel (SS), when 19 <= Vf <= 22, F = 80, so the galvanometer swing frequency F = 80; Final welding parameters: Vf = 22mm / s, P = 65W, F = 80Hz; In another case, in this typical working condition, the directly changed welding parameter value is the corrected wire feeding rate value 15 (the user originally adjusted it to 12); Since the correlation constraint between the welding power and the wire feeding rate in this typical working condition is P = 3Vf - 1, Substituting Vf = 15 into the formula, the changed welding power P is 44; According to the correlation constraint between the wire feeding rate and the galvanometer swing frequency, for stainless steel (SS) with a thickness of 1 mm, when Vf < 19, F = 70, so the galvanometer swing frequency F = 70; Final welding parameters: Vf = 15 mm / s, P = 44 W, F = 70 HZ; It should be noted that taking the welding power and the wire feeding rate as direct variable parameters respectively to determine the correlation parameters ensures the accuracy of the correlation parameters, enables the parameters to cooperate closely during the welding process, and improves the welding quality; S43. Use the fixed constraints of the welding parameters to determine that the fixed welding parameter values under the current typical working conditions remain unchanged; It should be noted that using the galvanometer swing width constraint under the typical working conditions ensures that the galvanometer swing width remains unchanged during the adjustment of the welding parameters.

[0032] In an embodiment of the present invention, based on step S41, a possible embodiment will be given below to non - restrictively elaborate on its specific implementation scheme.

[0033] In specific applications, in addition to the adjustable welding power, there are also cases where the welding current or voltage is adjusted.

[0034] Since only one parameter is adjusted, if the user adjusts the welding voltage, the original welding current remains unchanged, which is still equivalent to adjusting the welding power. Similarly, if the user adjusts the welding current, the original welding voltage remains unchanged, which is still equivalent to adjusting the welding power; For example: The workpiece material selected by the user is stainless steel (SS), and the workpiece thickness is 1 mm; The range constraints of the adjustable welding parameters under this typical working condition are: P = 3Vf - 1, the wire feeding rate Vf ranges from 15 to 22 mm / s, and the welding power P ranges from 44 to 65 W; Welding parameters in the original state: Vf = 18 mm / s, P = 53 W, I = 20 A, U = 2.65 V; If the user adjusts the current to 25 A, since only one parameter is adjusted, the voltage U remains unchanged, then the power P is adjusted to P = 25×2.65 = 66.25 W; Since 66.25 W exceeds the range of the welding power P from 44 to 65 W, the welding power P is automatically corrected to 65 W. At this time, I = 65 / 2.65≈24.52 A; Then calculate the wire feeding rate Vf as 22 mm / s according to P = 3Vf - 1; Also, since 19 <= Vf <= 22, F = 80, so the galvanometer swing frequency F = 80; The galvanometer swing width W remains unchanged, still W = 2; The final welding parameters are: Vf = 22 mm / s, P = 53 W, I = 24.52 A, U = 2.65 V, I = 20 A, U = 2.65 V, F = 80 Hz, W = 2 mm; In another case, if the user adjusts the voltage to 3 V, since only one parameter is adjusted, the current I remains unchanged, and the power P is adjusted to P = 20×3 = 60 W. At this time, 60 W is within the welding power P range of 44 - 65 W; Then, according to P = 3Vf - 1, the wire feeding speed Vf is calculated to be 20 mm / s; Also, since F = 80 when 19 <= Vf <= 22, the galvanometer swing frequency F = 80; The galvanometer swing width W remains unchanged, still W = 2; The final welding parameters are: Vf = 20 mm / s, P = 60 W, I = 20 A, U = 3 V, F = 80 Hz, W = 2 mm; It should be noted that during the implementation of the welding adjustment process, parameter detection, correction, determination of associated parameters, and maintenance of fixed parameters are achieved; through parameter detection and correction, it is ensured that the parameters adjusted by the user are within a safe and reasonable range, avoiding welding problems caused by abnormal parameters; through the determination of associated parameters and the maintenance of fixed parameters, the stability of welding parameters is ensured, and the welding quality is improved.

[0035] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not imply the order of execution. The order of execution of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0036] As Figure 2 shown below, the following is an embodiment of a system capable of quickly adjusting the handheld laser welding process parameters provided by the embodiments of the present disclosure. This system and the method capable of quickly adjusting the handheld laser welding process parameters in the above embodiments belong to the same inventive concept. For the details not described in detail in the embodiments of the system capable of quickly adjusting the handheld laser welding process parameters, reference can be made to the embodiments of the method capable of quickly adjusting the handheld laser welding process parameters.

[0037] The system includes: A welding parameter constraint library construction module, which is used to determine the typical combination of workpiece material and workpiece thickness as a typical working condition, construct welding parameter constraint relationships for each typical working condition, and save them to the welding parameter constraint library; A welding parameter constraint relationship selection module, which is used to obtain the workpiece material and workpiece thickness selected by the user, and select the applicable welding parameter constraint relationship from the welding parameter constraint library; A welding parameter initialization module, which is used to initialize the welding parameter values and perform welding; A welding parameter adjustment module, which is used to respond to a welding parameter value adjusted by a user when welding parameters need to be adjusted, determine associated welding parameter values using the selected welding parameter constraint relationship, and perform welding using the adjusted welding parameter values and the associated welding parameter values.

[0038] In this embodiment, through the cooperation of the welding parameter constraint library construction module, the welding parameter constraint relationship selection module, and the welding parameter adjustment module, the automation and intelligence of welding parameter adjustment are realized.

[0039] The method for quickly adjusting the handheld laser welding process parameters provided by the embodiments of this application can be applied to electronic devices. Those skilled in the art can understand that the electronic device structure involved in the embodiments of the present invention does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements. In the embodiments of the present invention, the electronic device includes, but is not limited to, laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown in the figure, their connections and relationships, and their functions are only examples and are not intended to limit the implementation of the embodiments of this application described and / or claimed herein.

[0040] The electronic device may include a processor, an external memory interface, an internal memory, a universal serial bus (USB) interface, a charging management module, a power management module, a battery, a wireless communication module, an audio module, a speaker, a microphone, a sensor module, keys, a camera, a display screen, and a SIM card interface, etc.

[0041] It can be understood that the structure schematically shown in the embodiments of this application does not constitute a specific limitation on the electronic device. In other embodiments of this application, the electronic device may include more or fewer components than shown in the figure, or combine certain components, or split certain components, or have different component arrangements. The components shown in the figure may be implemented in hardware, software, or a combination of software and hardware.

[0042] The processor may include one or more processing units. For example, the processor may include a central processing unit (CPU), an application processor (AP), a modem processor, a graphics processing unit (GPU), an image signal processor (ISP), a controller, a memory, a video codec, a digital signal processor (DSP), a baseband processor, and / or a neural-network processing unit (NPU), etc. Among them, different processing units may be independent devices or integrated in one or more processors.

[0043] Among them, the processor may be the nerve center and command center of the electronic device. The controller may generate operation control signals according to the instruction operation code and timing signals to complete the control of fetching and executing instructions.

[0044] A memory may also be provided in the processor for storing instructions and data. In some embodiments, the memory in the processor is a cache memory. This memory can save the instructions or data that the processor has just used or recycled. If the processor needs to use the instruction or data again, it can directly call it from this memory. This avoids repeated accesses, reduces the waiting time of the processor, and thus improves the system efficiency.

[0045] The above-mentioned electronic device implements the technical solution of the method for quickly adjusting the handheld laser welding process parameters in the present application, which determines the typical combination of the workpiece material and the workpiece thickness as the typical working conditions, constructs the welding parameter constraint relationship for each typical working condition, and saves it to the welding parameter constraint library; obtains the workpiece material and the workpiece thickness selected by the user, and selects the appropriate welding parameter constraint relationship from the welding parameter constraint library; initializes the welding parameter values and performs welding; when it is necessary to adjust the welding parameters, responds to a welding parameter value adjusted by the user, and uses the selected welding parameter constraint relationship to determine the associated welding parameter values, and uses the adjusted welding parameter values and the associated welding parameter values for welding. By establishing the parameter constraint relationship under typical working conditions, it realizes the intelligent matching and linkage adjustment of welding parameters, reduces the operation difficulty of users, reduces the dependence on experience, and improves the welding quality and efficiency.

[0046] In the storage medium provided by the present application, there is a program product capable of implementing the method for quickly adjusting the handheld laser welding process parameters.

[0047] The method for quickly adjusting the process parameters of handheld laser welding includes: determining a typical combination of workpiece material and workpiece thickness as a typical working condition, constructing welding parameter constraint relationships for each typical working condition, and storing them in a welding parameter constraint library; obtaining the workpiece material and workpiece thickness selected by the user, and selecting an appropriate welding parameter constraint relationship from the welding parameter constraint library; initializing the welding parameter values and performing welding; when it is necessary to adjust the welding parameters, responding to a welding parameter value adjusted by the user, and using the selected welding parameter constraint relationship to determine the associated welding parameter values, and performing welding using the adjusted welding parameter values and the associated welding parameter values.

[0048] In some possible implementation manners, the method for quickly adjusting the process parameters of handheld laser welding according to the present disclosure can be implemented in the form of a program product, which includes program code. When the program product runs on a terminal device, the program code is used to cause the terminal device to execute the steps according to various exemplary embodiments of the present disclosure described in the "Exemplary Method" section above in this specification.

[0049] The storage medium of the present disclosure can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0050] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for quickly adjusting the process parameters of handheld laser welding, characterized in that: The steps include: S1. Determine a typical combination of workpiece material and workpiece thickness as a typical working condition, construct a welding parameter constraint relationship for each typical working condition, and save it to a welding parameter constraint library; S2. Obtain the workpiece material and workpiece thickness selected by the user, and select an appropriate welding parameter constraint relationship from the welding parameter constraint library; S3. Initialize welding parameter values ​​and perform welding; S4. When the welding parameters need to be adjusted, respond to a welding parameter value adjusted by the user, use the selected welding parameter constraint relationship to determine the associated welding parameter value, and use the adjusted welding parameter value and the associated welding parameter value to perform welding.

2. The method for rapidly adjusting the process parameters of handheld laser welding according to claim 1, characterized in that: The specific steps of step S1 are as follows: S11. Determine the type of workpiece material; S12. Determine the type of typical workpiece thickness for each workpiece material; S13. Take the processing of each workpiece material at each typical workpiece thickness as a typical working condition; S14. Construct a welding parameter constraint relationship for each typical working condition, wherein the welding parameter constraint relationship includes a range constraint of adjustable welding parameters, an association constraint between welding parameters, and a fixed constraint of welding parameters.

3. The method for rapidly adjusting the process parameters of handheld laser welding according to claim 2, characterized in that: The range constraints of the adjustable welding parameters include the range constraints of the welding power and the range constraints of the wire feeding rate; The associated constraints between the welding parameters include the associated constraints between welding power and wire feeding rate, and the associated constraints between wire feeding rate and galvanometer swing frequency; The fixed constraints of the welding parameters include the constraints of the galvanometer swing width under each typical working condition.

4. The method for rapidly adjusting the process parameters of handheld laser welding according to claim 3, characterized in that: The associated constraints between welding power and wire feeding rate are as follows: Wherein, P is welding power; Vf is wire feeding rate; a is the proportional coefficient of power to wire feeding rate, and a>0; b is power compensation value, and b∈R, the positive or negative value of b depends on the specific welding conditions, and the basic power requirements under different typical conditions are corrected; The associated constraints between the wire feeding rate and the oscillation frequency of the galvanometer are as follows: SS1. Divide the wire feeding rate into several intervals under each typical working condition; SS2. Set a fixed galvanometer swing frequency for each wire feed rate interval.

5. The method for rapidly adjusting process parameters of handheld laser welding according to claim 3, characterized in that: The specific steps of step S2 are as follows: S21. Determine the corresponding typical working condition according to the workpiece material and workpiece thickness selected by the user; S22. Selecting from the welding relationship constraint library the range constraints of the adjustable welding parameters corresponding to the typical working condition, the association constraints between the welding parameters, and the fixed constraints of the welding parameters.

6. The method for rapidly adjusting the process parameters of handheld laser welding according to claim 5, characterized in that: The specific steps of step S3 are as follows: S31. Detect whether there are welding parameter values ​​saved by the user under the current typical working conditions; If yes, obtain the welding parameter value saved by the user and proceed to step S33; If not, proceed to step S32; S32. Obtain the factory preset welding parameter values ​​under the current typical working conditions; S33. Determine whether the welding parameter value needs to be adjusted; If yes, go to step S4; If not, proceed to step S34; S34. Perform welding using the acquired welding parameter values; S35 determines whether the welding parameter value needs to be adjusted during the welding process; If yes, go to step S4; If not, proceed to step S36; S36. Wait for the set time period and return to step S35.

7. The method for rapidly adjusting handheld laser welding process parameters according to claim 6, characterized in that: The specific steps of step S4 are as follows: S41. Obtain a welding parameter value adjusted by the user, and detect whether it exceeds the range constraint of the adjustable welding parameter; If yes, the welding parameter value adjusted by the user is corrected, and the corrected welding parameter value is used as the directly variable welding parameter value, and the process goes to step S42; If not, the welding parameter value adjusted by the user is used as the directly changed welding parameter value, and the process goes to step S42; S42. Determine the changed welding parameter value by using the association constraint between the welding parameters for directly changing the welding parameter value; S43. Use the fixed constraints of the welding parameters to determine that the fixed welding parameter values ​​under the current typical working condition remain unchanged.

8. A system for quickly adjusting the process parameters of handheld laser welding, characterized in that: include: A welding parameter constraint library construction module is used to determine a typical combination of workpiece material and workpiece thickness as a typical working condition, construct a welding parameter constraint relationship for each typical working condition, and save it to the welding parameter constraint library; A welding parameter constraint relationship selection module is used to obtain the workpiece material and workpiece thickness selected by the user and select an appropriate welding parameter constraint relationship from the welding parameter constraint library; The welding parameter initialization module is used to initialize the welding parameter values ​​and perform welding; The welding parameter adjustment module is used to respond to a welding parameter value adjusted by the user when the welding parameter needs to be adjusted, and use the selected welding parameter constraint relationship to determine the associated welding parameter value, and use the adjusted welding parameter value and the associated welding parameter value for welding.

9. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for rapidly adjusting the process parameters of handheld laser welding as claimed in any one of claims 1 to 7 when executing the program.

10. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for quickly adjusting the process parameters of handheld laser welding as described in any one of claims 1 to 7 are implemented.